Student perceptions of predictability of examination requirements and relationship with outcomes in high-stakes tests in Ireland

Entirely predictable examinations are ones for which the questions are known in advance. Some assessments are designed this way, but in public examinations, predictability is subtler. Students familiarise themselves with the requirements broadly: likely topics that will come up, question formats and how to maximise their marks. If students can predict what they have to do, they can memorise performances, such as essays, and restrict their learning to fit only with examination requirements. The danger is that this focus could undermine curriculum aims. Further, examinations that are overly predictable might produce results that do not generalise to other performances or have predictive validity. This paper presents part of a broader project investigating whether the Higher Level Irish Leaving Certificate (LC) examinations were too predictable. Here, the development of a rating scale for students’ views of examination predictability is described. Data were collected from 1002 Irish LC students taking higher level examinations in biology (n?=?536), English (n?=?749) and geography (n?=?387). Students’ views on predictability of the examination could be grouped consistently across subject areas into three factors: valuable learning, predictability and narrowing of the curriculum. Belief that narrowing of the curriculum was a good examination preparation tactic had a negative relationship with examination scores and perceived learning value of examinations was positively associated with students’ scores in biology and English. These findings indicate that the scoring system rewards students who believe they must study the discipline broadly.     

Are all Pupils Equally Motivated to do Their Best on all Tests? Differences in Reported Test-Taking Motivation within and between Tests with Different Stakes

This study investigated changes in reported test-taking motivation from a low-stakes to a high-stakes test and if there are differences in reported test-taking motivation between school classes. A questionnaire including scales assessing reported effort, expectancies, perceived importance, interest, and test anxiety was administered to a sample of pupils (n?=?375) in 9th grade in direct connection to a national test field trial and then again to the same sample in connection to the regular national test in science. Two-level second-order latent growth modelling was used to analyse data. In summary, the results show a significant increase in reported test-taking motivation from the field trial to the regular test and a significant variability in test-taking motivation between classes.     

电流变液机理和料的研究

从物理角度阐述了电流变液机制,分析了作用于电流变液内悬浮颗粒上的力,并综述了电流变液物理模型和电流变液的发展概况.     

Computer modelling and the curriculum -- integrated or loosely attached?

This paper examines from a number of perspectives a small research project that involved the development and evaluation of a crosscurricular course in computer modelling. It sets out briefly the context, design and results of the project in order both to explain the potential of computer modelling activities in learning to represent quantitative variation, and also to highlight the need to develop teachers' pedagogical practices. The role of information technology (IT) in providing support for generic modelling skills is discussed, and theories of teachers' knowledge growth are used to analyse the challenges for professional development in IT, particularly concerning matters that are relevant to more than one discipline. Conclusions are drawn concerning the need to integrate curriculum development, professional development and different areas of expertise in educational computing research if teachers are to be adequately supported in integrating IT into their teaching, rather than merely attaching it to their existing curricula     

Handling missing data: analysis of a challenging data set using multiple imputation

Missing data is endemic in much educational research. However, practices such as step-wise regression common in the educational research literature have been shown to be dangerous when significant data are missing, and multiple imputation (MI) is generally recommended by statisticians. In this paper, we provide a review of these advances and their implications for educational research. We illustrate the issues with an educational, longitudinal survey in which missing data was significant, but for which we were able to collect much of these missing data through subsequent data collection. We thus compare methods, that is, step-wise regression (basically ignoring the missing data) and MI models, with the model from the actual enhanced sample. The value of MI is discussed and the risks involved in ignoring missing data are considered. Implications for research practice are discussed.     

关于线结构和明暗两类素描造型方法的特点与规律

素描与绘画中诸多表现手法,基本上是从线结构与明暗两种素描造型方式中演变或派生而来,无论手法变化如何,大抵总是脱离不了以上两类造型方法的模式.作为初学者,了解和掌握这两类造型方法的特点与规律以及具体画法,将有助于我们更好的认识、理解现今丰富多样的造型手段,并研究和发展素描造型方法,形成自己独特的艺术表现风格.     

New Trends in Distance Learning Utilising Next Generation Multimedia Networks

Bandwidth capabilities of next generation networks have turned interactive multimedia services to a cost effective reality, targeting not only large companies, but SMEs and individual users as well. An application with direct social impact is tele-teaching and in the broader sense distance learning. A large numbers of colleges, universities, and other higher education institutions already offer online courses to their local and remote students, via new methods of education. In this paper, combining the WWW, the H.323/MPEG-4 protocol family and the CORBA model, we specify an open system and network architecture towards the Virtual Classroom realisation. Over this architecture an educational process is described using formal Object Modelling Technique (OMT) rules, while educational services are provided as methods of distributed objects. In this way, a framework is proposed in order to allow educational institutes to publish content in an abstract object-oriented manner, so as to become widely available via the well-known WWW interface.     

University students’ meta-modelling knowledge

Background: As one part of scientific meta-knowledge, students’ meta-modelling knowledge should be promoted on different educational levels such as primary school, secondary school and university. This study focuses on the assessment of university students’ meta-modelling knowledge using a paper–pencil questionnaire.

Purpose: The general purpose of this study was to assess and to describe university students’ meta-modelling knowledge. More specifically, it was analysed to what extent the meta-modelling knowledge, as expressed in a questionnaire, depends on the scientific discipline to which university students relate their answer and the concrete model to which they refer while answering.

Sample: N = 184 students from one German university voluntarily participated in this study.

Design and methods: The questionnaire was developed based on a theoretical framework for model competence and includes constructed response items asking about the purpose of models, ways for testing models and reasons for changing models. Students written answers were first analysed qualitatively based on the theoretical framework to decide whether they expressed advanced understandings or not. Further analyses then were conducted quantitatively.

Results: Findings suggest that only few university students possess an advanced meta-modelling knowledge. However, significant more students who relate their answers to the STEM-disciplines expressed advanced understandings than those who referred to social sciences or linguistics/philology. Furthermore, university students who expressed an advanced meta-modelling knowledge referred to rather abstract kinds of models in order to explain their view.

Conclusions: The present study supports the assumption that meta-modelling knowledge may be situated and contextualised. Both the scientific discipline and the concrete model to which university students refer seem to be relevant item features influencing university students’ expressed meta-modelling knowledge. Implications for assessment and teaching are discussed in the article.     

From electromagnetic bandgap to left-handed metamaterials： modelling and applications

INTRODUCTION Electromagnetic crystal structures (ECSs) offer the opportunity to control and manipulate electro- magnetic wave propagation as a result of their being formed from small-scale periodic geometric struc- tures. This detailed microscopic configuration can be designed to cause the material (macroscopically) to exhibit either effective permittivity or permeability that is negative over a finite frequency range. This modifies the dispersion relation of electromagnetic waves and a …     

Teaching seasons with hands-on models: model transformation

The purpose of this study was to examine the effects of using ‘hands-on’ models (HOMs) to teach the subject of seasons – a topic about which students often have misconceptions – on students’ expressed models. To this end, three different HOMs were developed. The study sample consisted of 80 seventh graders (ages 12–13). The study had a quasi-experimental design, and a model with a control group was used. The experimental group and the control group were assigned randomly. The study data were collected using an open-ended question form that was administered three times: pre-instruction, post-instruction and a long time after instruction (permanence). The collected data were analysed using the content analysis technique. Frequencies and percentages were used to analyse the changes in the students’ expressed models. The results of the analyses showed that using HOMs was an effective method for teaching the subject of seasons. It was concluded that whereas teaching with HOMs led the students to a ‘scientific’ model, the teaching method used in the control group led the students to a ‘synthesis’ model. In addition, the learning that occurred in the group taught with the HOMs was found to be more permanent than the learning that occurred in the control group. Based on these results, the use of HOMs to teach astronomy and the generalisation of these models has been recommended. Lastly, issues to consider when teaching the subject of seasons have been outlined.